A Dehazing Method for UAV Remote Sensing Based on Global and Local Feature Collaboration by Chenyang Li, Suiping Zhou, Ting Wu, Jiaqi Shi, Feng Guo

“…A Transformer-based Multi-layer Global Information Capturing (MGIC) module is introduced to progressively capture and integrate global contextual features across multiple layers, enabling the model to perceive and adapt to spatial variations in haze distribution. …”
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Uncertainty Control Method for Non-Uniform Wear of the Driving Mechanism of Flapping Wing Aircraft by Yujia Jin, Xingyu Chen, Keke Wang, Deyin Jiang, Jingyi Liu, Huan Pang

“…This study presents a stochastic wear prediction framework that systematically integrates joint clearance dynamics, contact force variations, and material interaction parameters. …”
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Towards a more objective and high-throughput spheroid invasion assay quantification method by Rozanne W. Mungai, Roger J. Hartman, Grace E. Jolin, Kevin W. Piskorowski, Kristen L. Billiar

“…The goal of this work is to develop a high-throughput quantification method of cell invasion into 3D matrices that minimizes sensitivity to initial spheroid size and cell spreading and provides precise integrative directionally-dependent metrics of invasion. …”
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Linear Gauss Pseudospectral Method Using Neighboring Extremal for Nonlinear Optimal Control Problems by Tianyou Zhang, Wanchun Chen, Liang Yang

“…This article proposes a method to solve nonlinear optimal control problems with arbitrary performance indices and terminal constraints, which is based on the neighboring extremal method and Gauss pseudospectral collocation. …”
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An Efficient Quality-Related Fault Diagnosis Method for Real-Time Multimode Industrial Process by Kaixiang Peng, Bingzheng Wang, Jie Dong

“…Our method can ensure the implementation of online fault monitoring and diagnosis for multimode processes. …”
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Material point method investigation of thermal effects on combustion evolution in composition B explosive by Weidong CHEN, Peiwen WU, Shengzhuo LU, Shibo WU, Mingwu SUN, Bo SUN

“…Thermal stimuli play a critical role in ammunition integrity studies, where understanding their effects on the combustion evolution of energetic materials is essential for safety engineering. …”
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Finite Element Method Stress Analysis of Kammprofile Gasket Defects and Evaluation of the Sealing Performance by Muhammad Afiq Azmansah, Ahmad Majdi A Rani, Fudhail Abd Munir

“…Therefore, the Finite Element Method (FEM) analysis using static structural was developed to analyse the influence of dimension variations and defects, specifically on pitch, serration depth and thickness of the Kammprofile gasket that drive the leakage in the flange gasketed joints by finding the compressive strains, maximum and average contact stresses. …”
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Research on Variable Circulation Design Method and Internal Flow Characteristic of the Axial Flow Pump by Xuewei Yu, Qili Gan, Zifan Ling, Jiahui Gong, Jiajia Tang, Lijian Shi

“…To investigate the influence of circulation distribution on axial-flow pump performance, this study integrates numerical simulation and theoretical analysis methods, establishing a simulation framework based on MATLAB and CFX. …”
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A Rapid Computational Method for Quantifying Inter-Regional Air Pollutant Transport Dynamics by Luoqi Yang, Guangjie Wang, YeGui Wang, Yibai Wang, Yongjing Ma, Xi Zhang

“…A novel atmospheric pollutant transport quantification model (APTQM) has been developed to analyze and quantify cross-regional air pollutant transport pathways and fluxes. The model integrates high-resolution numerical simulations, Geographic Information System (GIS) capabilities, and advanced statistical evaluation metrics with boundary pixel decomposition methods to effectively characterize complex pollutant transport dynamics while ensuring computational efficiency. …”
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Development of an Innovative Physical-Geometry-Based Soil Moisture Retrieval Method for CYGNSS Constellations by Xuerui Wu, Shumin Han, Xiaojuan Tian, Xinming Huang, Kuo Cao

“…A novel soil moisture retrieval method is proposed based on a zero-order scattering model. …”
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Online evaluation method for MMC submodule capacitor aging based on CapAgingNet by Xinlan Deng, Youhan Deng, Liang Qin, Weiwei Yao, Min He, Kaipei Liu

“…Subsequently, the CapAgingNet model is introduced, incorporating key technical modules to enhance performance: the Deep Stem module, which extracts larger receptive fields through multiple convolution layers and mitigates the impact of data sparsity in capacitor aging on feature extraction; the efficient channel attention (ECA) module, utilizing one-dimensional convolution for dynamic weighting to adjust the importance of each channel, thereby enhancing the ability of the model to process high-dimensional features in capacitor aging data; and the multiscale feature fusion (MSF) module, which integrates capacitor aging information across different scales by combining fine-grained and coarse-grained features, thus improving the capacity of the model to capture high-frequency variation characteristics. …”
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Der Müller Peter and (s) Fischers Emma by Theresa Schweden

“…This article presents the results of a research project addressing the grammatical and pragmatic variation of these unofficial names. A mixed methods approach shows that the order of “surname + given name” is triggered by dialect area, the size of a village or town, the age of the speakers, as well as the integration of a referent into the local community. …”
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The influence of a STEM unit on the interest in and understanding of science and engineering between elementary school girls and boys by Tracy Hewitt, Frank Forcino

“…The study explores gender differences among students, aiming to identify variations in the impact of the STEM unit on boy and girl students. …”
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The research on enhancing LA estimation accuracy across domains for small sample data based on data augmentation and data transfer integration optimization system by Ai-Dong Wang, Rui-Jie Li, Xiang-Qian Feng, Zi-Qiu Li, Wei-Yuan Hong, Hua-Xing Wu, Dan-Ying Wang, Song Chen

“…Methods: This research utilizes canopy image data acquired from the 2023–2024 rice full-cycle multi-view RGB imaging system (with dual front and side camera positions). …”
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A Quantum-Classical Method Applied to Material Design: Photochromic Materials Optimization for Photopharmacology Applications by Qi Gao, Michihiko Sugawara, Paul D. Nation, Takao Kobayashi, Yu-ya Ohnishi, Hiroyuki Tezuka, Naoki Yamamoto

“…In this study, we develop a quantum-classical computing scheme involving the computational-basis variational quantum deflation (cVQD) method for calculating the excited states of a general classical Hamiltonian, such as an Ising Hamiltonian. …”
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Out-of-distribution reject option method for dataset shift problem in early disease onset prediction by Taisei Tosaki, Eiichiro Uchino, Ryosuke Kojima, Yohei Mineharu, Yuji Okamoto, Mikio Arita, Nobuyuki Miyai, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno

“…To diminish dataset shift in real-world settings, this paper proposes the out-of-distribution reject option for prediction (ODROP). This method integrates an OOD detection model to preclude OOD data from the prediction phase. …”
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Exploration of the Validity of the Moral Competency Inventory Instrument: Analysis of Validation Methods from Various Studies by Fikri Nurcahya, Riyadi Riyadi, Achmad Ridwan

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Precise Geoid Determination in the Eastern Swiss Alps Using Geodetic Astronomy and GNSS/Leveling Methods by Müge Albayrak, Urs Marti, Daniel Willi, Sébastien Guillaume, Ryan A. Hardy

“…The collected gravity data were primarily used for corrections of the DoV-based geoid profiles, accounting for variations in station height and the geoid-quasigeoid separation. …”
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Robustness of machine learning predictions for Fe-Co-Ni alloys prepared by various synthesis methods by Shakti P. Padhy, Soumya R. Mishra, Li Ping Tan, Karl P. Davidson, Xuesong Xu, Varun Chaudhary, R.V. Ramanujan

“…This work further explains how structural variations across synthesis methods impact property behavior, validating the robustness of ML-predicted compositions and highlighting a pathway for integrating processing conditions into alloy development.…”
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A Short Review: Tribology in Machining to Understand Conventional and Latest Modeling Methods with Machine Learning by Seisuke Kano

“…Recent innovations have introduced data-driven approaches that predict system behavior without the need for detailed models. By integrating advanced monitoring technologies and machine learning, these methods enable real-time predictions within controllable parameters using live data. …”
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